Machine Learning Methods for Fuzzy Pattern Tree Induction

Machine Learning Methods for Fuzzy Pattern Tree Induction

This thesis elaborates on a novel approach to fuzzy machine learning, that is, the combination of machine learning methods with mathematical tools for modeling and information processing based on fuzzy logic. More specifically, the thesis is devoted to so-called fuzzy pattern trees, a model class th...

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Bibliografiska uppgifter
Huvudupphovsman: Senge, Robin
Övriga upphovsmän: Hüllermeier, Eyke (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Materialtyp: Dissertation
Språk:engelska
Publicerad: Philipps-Universität Marburg 2014
Ämnen:
Fuzzy-Menge
Induktion
Fuzzy-Set
Fuzzy Pattern Tree
Maschinelles Lernen
Supervised Learning
Machine Learning
Fuzzy-Logik
Fuzzy-Logic
Überwachtes Lernen
Informatik
Induction
Data processing Computer science
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